2392 Open source projects that are alternatives of or similar to Labeled Tweet Generator

Real-time sentiment analysis in Python using twitter's streaming api

A list of Twitter datasets and related resources.

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Deep Neural Network for Sentiment Analysis on Twitter

Hashformers is a framework for hashtag segmentation with transformers.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Technical specifications and guidelines for implementing Frictionless Data.

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

⚙️ Send TradingView alerts to Telegram, Discord, Slack, Twitter and/or Email.

It understands your voice commands, searches news and knowledge sources, and summarizes and reads out content to you.

A Mastodon, Twitter, and Instagram Cross-poster

A desktop application for viewing and analyzing tabular data

Measure the sentiment towards a word, name or sentence on social networks

Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit"

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

Apache Superset is a Data Visualization and Data Exploration Platform

Data collection tool for social media analytics

Python project used to collect tweets and social-network data from Social's API

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

⛈️ Rumble 1.11.0 "Banyan Tree"🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more

ETL with Python - Taught at DWH course 2017 (TAU)

Financial Web Scraper & Sentiment Classifier

🌍 The R&D of a sentiment analysis module, and the implementation of it on real-time social media data, to generate a series of live visual representations of sentiment towards a specific topic or by location in order to find trends.

Sentiment analysis and visualization of real-time tweets using R

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

Visualizer for pandas data structures

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event

Series of the problem 💯 and solution ✅ asked by Daily Coding problem👨‍🎓 website.

Your Advanced Twitter stalking tool

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

Learn Python for the next 30 (or so) Days.

A Python Bot for Scraping Conversations from Twitter

📊 📋 Dashboards using YAML or JSON files

Monthly Series - Top 10 Python Articles

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Youtube and Twitter with privacy.

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

A common, beautiful interface to tabular data, no matter the format

Create a dashboard with python!

The simple, easy-to-implement library to export HTML tables to xlsx, xls, csv, and txt files.

A proofreader for your data

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

Word2Vec models with Twitter data using Spark. Blog:

🍊 📄 Text Mining add-on for Orange3

A Swiss-Army Knife for Data I/O

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Resources for the O'Reilly online video "Reactive Python for Data"

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

Fast and powerful CSV (delimited text) parser that gracefully handles large files and malformed input

Deploying Keras models using TensorFlow Serving and Flask

🦄 The Enterprise™ programming language

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

Models for predicting emotions from English tweets.